Senior Computational Scientist - AI​/ML

About the Role

Our client is seeking a highly innovative Senior Computational Scientist with expertise in Artificial Intelligence and Machine Learning to join their pioneering, fully remote research team. This critical role involves developing and implementing advanced AI/ML models to solve complex challenges in areas such as predictive modeling, data analysis, and algorithmic development. You will collaborate closely with domain experts and data engineers to translate scientific hypotheses into actionable insights and build intelligent systems that drive discovery and innovation.

This is an exceptional opportunity for a driven individual to make a significant impact, leveraging cutting-edge technologies from anywhere.

• Design, develop, and deploy sophisticated AI/ML models for various scientific and business applications.
• Conduct extensive data analysis, feature engineering, and model training using large, complex datasets.
• Collaborate with cross-functional teams to define project requirements and translate them into computational solutions.
• Stay current with the latest advancements in AI/ML research and apply novel techniques to solve challenging problems.
• Communicate complex technical concepts and results clearly to both technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, Data Science, Statistics, Physics, or a related quantitative field.
• Minimum of 5 years of experience in applying AI/ML techniques to real-world problems.
• Strong programming skills in Python and proficiency with ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
• Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

• Highly competitive salary and generous performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and a fully remote work environment, promoting excellent work-life balance.
• Opportunities for professional development, including conference attendance and advanced training.
• A collaborative and intellectually stimulating research environment focused on cutting-edge AI/ML applications.